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Solvd

Data Engineer

Remote · Mid Level · Remote

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86Overall
64Skills
97Experience

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What we know about this role

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MEDIUM

Solvd is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.

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Skills required

4 listed
Artificial IntelligenceDatabricksPython (Programming Language)Microsoft Azure
Artificial IntelligenceDatabricksPython (Programming Language)Microsoft Azure

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Job description

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.


We are looking for a Data Engineer to support a production Data Lake environment built on Databricks. The platform is live and in active use — your role is to keep it healthy, support ongoing transformations and reports, and be the go-to person when something needs attention.

This is a support-phase engagement — a good fit for someone who enjoys owning a stable system, resolving issues methodically, and improving what's already there rather than building from scratch.

What you'll do

  • Support and maintain the production Data Lake, including transformations and reports hosted in Databricks.

  • Monitor pipeline health and investigate and resolve data issues as they arise.

  • Maintain and improve existing Python-based transformation logic.

  • Support end users and stakeholders with data-related requests and incidents.

  • Document changes and maintain up-to-date technical documentation for the platform.

What you bring

  • 3–6 years of hands-on experience with Databricks in a production environment.

  • Strong Python skills — able to read, maintain, debug, and improve existing code.

  • Experience supporting or maintaining data pipelines and transformation logic.

  • Reliable, responsive, and comfortable owning a live system independently.

Preferred qualifications

  • General understanding of Azure and how it underpins cloud data platform deployments.

  • Experience working in a support or maintenance capacity on an established data platform.

When you join Solvd, you'll…

  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.

  • Be part of a global team with equal opportunities for collaboration across continents and cultures.

  • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.

Solvd is an equal opportunity employer.

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All open roles at Solvd

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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